Find the Right Data Streaming Architecture for Your Data Needs - AWS Online Tech Talks

Customers frequently face challenges in selecting the right architecture for their needs as their use-case evolves from periodic batch computations to near real-time, low latency & high throughput processing. The "one size fits all" approach may lead to compromise, and a solution that is not optimized for everyone. In this session, learn how to select an appropriate data streaming architecture that can generate insights quickly using streaming services such as Amazon Kinesis Data Streams, Amazon Kinesis Data Firehose, Amazon Kinesis Data Analytics, and Amazon Managed Streaming for Apache Kafka (Amazon MSK).

Learning Objectives:
* Objective 1: Learn about open-source & AWS managed streaming data services.
* Objective 2: See how to use these services to design an appropriate streaming architecture.
* Objective 3: Understand the benefits of choosing the appropriate architecture under dimensions like cost, performance, and ease of use.

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[philsie]

This video makes perfect sense if you ALREADY know all of the AWS jargon words. Finding the right stream architecture one needs to map concepts from their non-cloud deployment to cloud services/frameworks. After watching this I worry about being locked into an AWS solution forever. Would much rather be able to abstract service use.

[prash]

What a great technical data streams detailed overview! Thank you.

[raunaqsingh]

Nikhil sir is the best, this talent should only stay in india, very based

[sarvankhokhar]

Very informative and knowledgeable lecture 👍

[infiniteseries]

Makes things very complex. Lambda Function is out of question as for streaming aggregation is needed else development efforts are very high. Apache Flink based solution is way forward.

[hemantkhokhar]

Nice worthy and informative session Nikhil

[infiniteseries]

AWS makes things very confusing and complex.